Adaptive beamforming and direction of arrival (DOA)
estimation are among the prime areas of research which draw the attention of
research community to address the ever growing demand for increased capacity in
mobile communication systems. Smart antennas, which are essentially adaptive
array antennas coupled with intelligent signal processing have emerged as an
important category of systems capable of providing solution to this problem.
Neural networks are also being widely
used for developing intelligent systems and influencing signal processing in
communication systems. A decision directed approach is proposed for blind
adaptation of smart antenna system using a complex neural estimation of
parameters for beamforming. The paper presents a simulation study of the
decision directed smart antenna system with neural estimation (DDSA-NE) for
multi-quadrature amplitude modulated (M-QAM) signal environment with 4, 16, and
64 constellations. The results indicate
the effectiveness of the proposed scheme.

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